Neural Bases Of Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
perceptual learning
motor learning
depth learning
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Nathan Schroeder
University of Illinois United States of America
neural bases of behavior
neural development
genomic bases of behavior
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Chris Eliasmith
University of Waterloo Canada
neural computing
neural networks
neural dynamics
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Brent Doiron
University of Chicago United States of America
network learning
neural coding
neural circuits
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Brent Doiron
University of Chicago United States of America
network learning
neural coding
neural circuits
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Jorge Mejias
University of Amsterdam Netherlands
neural networks
neural dynamics
neural mechanisms
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Carina Curto
Brown University United States of America
neural networks
neural codes
learning
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Brokoslaw Laschowski
University of Toronto Canada
neural networks
neural computation
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
neural networks
statistical learning
reinforcement learning
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Francesco Battaglia
Radboud University Netherlands
neural recording
neuronal networks
learning
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Antoine Van Den Beemt
Eindhoven University of Technology Belgium
networked learning
challenge-based learning
learning analytics
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Christopher Atkeson
Carnegie Mellon University United States of America
memory-based learning
nonparametric learning
reinforcement learning
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John Oommen
Carleton University Canada
neural networks
learning systems
stochastic learning
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Johnatan Aljadeff
University of California, San Diego United States of America
learning processes
neuronal networks
theoretical models of neurons
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Mayank Mehta
University of California Los Angeles United States of America
neural encoding
learning
neural rhythms
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
imitation learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
robot learning
imitation learning
reinforcement learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
structure learning
reinforcement learning
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Pascal Poupart
University of Waterloo Canada
causal learning
reinforcement learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
self-supervised learning
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Benedek Kurdi
University of Illinois United States of America
causal learning
learning
reinforcement learning
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